AI Taste Business Finance 4B
This repository provides a fine-tuned Qwen3 4B model for AI Taste experiments on social science research articles, with a current focus on Business, Finance article evaluation.
Source du modèle
- Type
- Text model
- Taille du fichier
- Pas encore enregistré
- Modèle de base
- Qwen/Qwen3-4B
- Version
- vRevision e357c7a
- Mis à jour
- 2 oct. 2026
- Éditeur
- @K1mG0ng
- Téléchargements
- 37
- Paramètres
- 4B
- Tâches
- Génération de texte
- Source
- Hugging Face
Description de la source
AI-Taste-Business-Finance-4B
This repository provides a fine-tuned Qwen3 4B model for AI Taste experiments on social science research articles, with a current focus on Business, Finance article evaluation.
Model Summary
- Base model:
Qwen/Qwen3-4B - Architecture:
Qwen3ForCausalLM - Format: Hugging Face Transformers + Safetensors
- Primary use: ranking or classifying research-article prompts into discrete quality levels
Intended Use
The model is intended for research and internal experimentation on structured article-evaluation prompts, including tasks such as:
- research question quality assessment
- article-level prompt scoring
- social science journal tier benchmarking
It is not intended as a general-purpose factual assistant or as a substitute for expert peer review.
Files
This repository keeps only the files needed to load and run the model:
- model weights in
safetensors - tokenizer files
- model config and generation config
Training-state artifacts such as trainer checkpoints and local run metadata are intentionally excluded.
Example
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "K1mG0ng/AI-Taste-Business-Finance-4B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
Validation
- Top-1 accuracy:
53.50%(200 samples) - Top-1+2 accuracy:
82.50% - Balanced accuracy:
53.50% - Macro F1:
53.19%
Notes
- Subject:
BUSINESS, FINANCE - Source checkpoint:
/workspace/gongziqin/228/RQ/finetune/social_science_rqcontext_BUSINESS,_FINANCE_4B_/final_model - Output quality depends on prompt format and label schema used at inference time.
Sources
1 source
Sources
1 sourceVérifié 2 oct.
Extraits de sources
3 extraits
Extraits de sources
3 extraits--- language: - en license: mit library_name: transformers base_model: Qwen/Qwen3-4B tags: - qwen3 - causal-lm - social-science - research-evaluation - fine-tuned --- # AI-Taste-Business-Finance-4B This repository provides a fine-tuned Qwen3 4B model for AI Taste experiments on social science research articles, with a current focus on Business, Finance article evaluation. ## Model Summary - Base model: `Qwen/Qwen3-4B` - Architecture: `Qwen3ForCausalLM` - Format: Hugging Face Transformers + Safetensors - Primary use: ranking or classifying research-article prompts into discrete quality levels ## Intended Use The model is intended for research and internal experimentation on structured article-evaluation prompts, including tasks such as: - research question quality assessment - article-level prompt scoring - social science journal tier benchmarking It is not intended as a general-purpose factual assistant or as a substitute for expert peer review. ## Files This repository keeps only the files needed to load and run the model: - model weights in `safetensors` - tokenizer files - model config and generation config Training-state artifacts such as trainer checkpoints and local run metadata are intentionally excluded. ## Example ```python from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "K1mG0ng/AI-Taste-Business-Finance-4B" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) ``` ## Validation - Top-1 accuracy: `53.50%` (200 samples) - Top-1+2 accuracy: `82.50%` - Balanced accuracy: `53.50%` - Macro F1: `53.19%` ## Notes - Subject: `BUSINESS, FINANCE` - Source checkpoint: `/workspace/gongziqin/228/RQ/finetune/social_science_rqcontext_BUSINESS,_FINANCE_4B_/final_model` - Output quality depends on prompt format and label schema used at inference time.
Source context: 37 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo K1mG0ng/AI-taste-business-finance-4B
Source context: 30 downloads · 0 likes · Pipeline text-generation · Library transformers · Repo K1mG0ng/AI-taste-business-finance-4B
